{"id":133,"date":"2020-04-20T17:29:48","date_gmt":"2020-04-20T17:29:48","guid":{"rendered":"http:\/\/merlebehr.org\/?page_id=133"},"modified":"2025-12-15T16:48:18","modified_gmt":"2025-12-15T16:48:18","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/merlebehr.org\/?page_id=133","title":{"rendered":"Publications"},"content":{"rendered":"\n<p><strong>Publications:<\/strong><\/p>\n\n\n\n&nbsp;\n&nbsp;\n&nbsp;\n\n\n\n<ul><li><strong>M. Behr<\/strong> and A. Munk, <em>Identifiability for blind source separation of multiple finite alphabet linear mixtures<\/em>, <a href=\"https:\/\/ieeexplore.ieee.org\/document\/7953681\">IEEE Transactions on Information Theory<\/a>, 63(9):5506-5517 (2017)<\/li>\n<li><strong>M. Behr<\/strong>, C. Holmes, and A. Munk, <em>Multiscale blind source separation<\/em>, <a href=\"https:\/\/projecteuclid.org\/euclid.aos\/1522742434\">The Annals of Statistics<\/a>, 46(2):711\u2013744 (2018)<\/li>\n<li><strong>M. Behr<\/strong>, <em>Finite Alphabet Blind Separation<\/em>, PhD thesis, <a href=\"http:\/\/ediss.uni-goettingen.de\/handle\/11858\/00-1735-0000-002E-E308-C\">University of G\u00f6ttingen<\/a> (2018)<\/li>\n<li><strong>M. Behr<\/strong>, M. Azim Ansari, A. Munk, C. Holmes, <em>Testing for dependence on tree structures<\/em>, <a href=\"https:\/\/www.pnas.org\/content\/early\/2020\/04\/21\/1912957117\"> Proceedings of the National Academy of Sciences (PNAS) <\/a>, 117(18):9787&#8211;9792 (2020)<\/li>\n<\/ul>\n<ul><li> M. Pelizzola<sup>*<\/sup>, <strong>M. Behr<sup>*<\/sup><\/strong>, H. Li, A. Munk, and A. Futschik,  <em>Multiple Haplotype Reconstruction from Allele Frequency Datan<\/em>, <a href=\"https:\/\/www.nature.com\/articles\/s43588-021-00056-5\">Nature Computational Science<\/a>, 1:262\u2013271 (2021) <\/li><\/ul>\n<ul><li> L. Vanegas, <strong>M. Behr<\/strong>, and A. Munk, <em>Multiscale Quantile Segmentation<\/em>,\n<a href=\"https:\/\/doi.org\/10.1080\/01621459.2020.1859380\">Journal of the American Statistical Association<\/a>, 117(539):1384&#8211;1397 (2022) <\/li><\/ul>\n<ul><li> <strong>M. Behr<\/strong> and A. Munk, <em>Minimax estimation in linear models with unknown design over finite alphabets<\/em>, <a href=\"https:\/\/epubs.siam.org\/doi\/abs\/10.1137\/21M1398860\">SIAM Journal on Mathematics of Data Science<\/a>, 4(2):490-513 (2022) <\/li><\/ul>\n<ul><li> <strong>M. Behr<\/strong> <sup>*<\/sup>, Y. Wang<sup>*<\/sup>, X. Li, and B. Yu, <em>Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests<\/em>, <a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.2118636119\">Proceedings of the National Academy of Science (PNAS)<\/a>, 119(22):e2118636119 (2022) <\/li><\/ul>\n<ul><li> <strong>M. Behr<\/strong> , R. Burghaus, C. Diedrich, and J. Lippert, <em>Opportunities and Challenges for AI-Based Analysis of RWD in Pharmaceutical R&#038;D: A Practical Perspective<\/em>, <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s13218-023-00809-6\">K\u00fcnstliche Intelligenz<\/a>, (2023) <\/li><\/ul>\n<ul><li> <strong> M. Behr <\/strong> <sup>*<\/sup>, K. Kumbier<sup>*<\/sup>, A. Cordova-Palomera, M. Aguirre, E. Ashley, A. J. Butte, R. Arnaout, B. Brown, J. Priest, B. Yu,  <em>Learning epistatic polygenic phenotypes with Boolean interactions<\/em>, <a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0298906\"> PLoS ONE<\/a>, 19(4): e0298906 (2024) <\/li><\/ul>\n<ul><li>M. Gorski, S. Wiegrebe, R. Burkhardt, <strong>M. Behr<\/strong> , H. Kuechenhoff, K. Stark, C. Boeger, I. Heid, <em> Bias-corrected serum creatinine from UK Biobank electronic medical records generates an important data resource for kidney function trajectories<\/em>, <a href = \"https:\/\/www.nature.com\/articles\/s41598-025-85391-7\"> Scientific Reports<\/a>, 15:3540 (2025) <\/li><\/ul>\n<ul><li>B. J. Wagner, A. Ettner-Sitter, N.A. Ihlo, <strong>M. Behr<\/strong>, S. Koelbl, S. M. Brunner, F. Weber, B. M. Rau, H. J. Schlitt, C. Brochhausen, R. Schoenmehl, A. Artinger, D. Schott, M. Pizon, K. Pachmann, T. Aung, S. Haerteis, C. Hackl  <em> Patient-derived xenografts from circulating cancer stem cells as a preclinical model for personalized pancreatic cancer research<\/em>, <a href = \"https:\/\/www.nature.com\/articles\/s41598-025-87054-z\"> Scientific Reports<\/a>, 15:2896 (2025) <\/li><\/ul>\n<ul><li> Q. Wang, T. M. Tang, N. Youlton, C. S. Weldy, A. M. Kenney, O. Ronen, J. W. Hughes, E. T. Chin, S. C. Sutton, A. Agarwal, X. Li, <strong> M. Behr <\/strong> , K. Kumbier, C. S. Moravec, W. H. W. Tang, K. B. Margulies, T. P. Cappola, A. J. Butte, R. Arnaout, J. B. Brown, J. R. Priest, V. N. Parikh, B. Yu, E. A. Ashley, <em>Epistasis regulates genetic control of cardiac hypertrophy<\/em>, <a href = \"https:\/\/www.nature.com\/articles\/s44161-025-00656-8\"> Nature Cardiovascular Research\n<\/a>, 4: 740&#8211;760 (2025)<\/li><\/ul>\n<ul><li> S. Heckscher, N. Ihlo, J. Schueler, F. Kellermeier, J. Werner, B. Nuebel, V. Gross, M. May, B. Wullich, M. Kammerl, C. Gnewuch, R. Burkhardt, B. Buchholz, E. Pion, T. Aung, M. Banas, H. Schlitt, P. Oefner, K. Dettmer, W. Gronwald, <strong> M. Behr <\/strong>, S. Haerteis, K. Schmidt, <em>Metabolomic profiling of renal cyst fluid in advanced ADPKD: insights from dialysis and transplantation cohorts<\/em>, <a href = \"https:\/\/link.springer.com\/article\/10.1007\/s11306-025-02291-7#citeas\"> Metabolomics\n<\/a>, 21: 90 (2025)<\/li><\/ul>\n<ul><li>M. Gorski, M. Grunin, J. Herold, B. Fr\u00f6hlich, <strong>M. Behr<\/strong>, N. Wheeler, W. Bush, Y. Song, X. Zhu, S. Blanton, M. Pericak-Vance, I. Heid, J. Haines, International Age-related Macular Degeneration Genomics Consortium , <em> Diverse ancestry GWAS for advanced age-related macular degeneration in TOPMed-imputed and Ophthalmologically-confirmed 16,108 cases and 18,038 controls<\/em>, <a href = \"https:\/\/doi.org\/10.1167\/iovs.66.13.51\">Investigative Ophthalmology &#038; Visual Science (IOVS)<\/a>, 66(13):51 (2025)  <\/li><\/ul>\n<ul><li> C. Elliott, J. Duncan, T. Tang, <strong> M. Behr <\/strong>, K. Kumbier, B. Yu <em>Designing a Data Science simulation with MERITS: A Primer<\/em>, <a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2025.2561905\"> Journal of Computational and Graphical Statistics<\/a>, 1\u201316 (2025)<\/li><\/ul>\n\n\n\n&nbsp;\n&nbsp;\n&nbsp;\n\n\n\n<p><strong>Preprints:<\/strong><\/p>\n\n\n\n<ul><li>B. Fr\u00f6hlich, A. Durst, <strong>M. Behr<\/strong>, <em> Decorrelated feature importance from local sample weighting<\/em>, <a href = \"https:\/\/arxiv.org\/abs\/2508.06337\">arXiv preprint <\/a> <\/li><\/ul>\n<ul><li>K. Vuk, N. Ihlo, <strong>M. Behr<\/strong>, <em> Provable Recovery of Locally Important Signed Features and Interactions\n  from Random Forest<\/em>, <a href = \"https:\/\/arxiv.org\/abs\/2512.11081\">arXiv preprint <\/a> <\/li><\/ul>\n\n\n\n&nbsp;\n&nbsp;\n&nbsp;\n\n\n\n<p><strong>Software:<\/strong><\/p>\n\n\n\n<ul><li><strong>R-package<\/strong> <em>slamR<\/em>,<a href=\"http:\/\/www.stochastik.math.uni-goettingen.de\/slamR\">http:\/\/www.stochastik.math.uni-goettingen.de\/slamR<\/a> <\/li>\n<li><strong>R-package and Jupyter Notebook<\/strong> <em>treeSeg<\/em>,<br> <a href=\"https:\/\/github.com\/merlebehr\/treeSeg\">https:\/\/github.com\/merlebehr\/treeSeg<\/a> <\/li>\n<li><strong>R-package<\/strong> <em>haploSep<\/em>, (together with M. Pelizzola and H. Li)<br> <a href=\"https:\/\/github.com\/MartaPelizzola\/haploSep\">https:\/\/github.com\/MartaPelizzola\/haploSep<\/a> <\/li>\n<li><strong>R-package and Jupyter Notebook<\/strong> <em>mqs<\/em>, (together with L. Vanegas)<br> <a href=\"https:\/\/github.com\/ljvanegas\/mqs\">https:\/\/github.com\/ljvanegas\/mqs<\/a>   <\/li>\n<li><strong>GitHub repository<\/strong> <em>epiTree<\/em>, (together with K. Kumbier)<br> <a href=\"https:\/\/github.com\/merlebehr\/epiTree\">https:\/\/github.com\/merlebehr\/epiTree<\/a>   <\/li><\/ul>\n\n\n\n<p><sup>*<\/sup> joint first author<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Publications: &nbsp; &nbsp; &nbsp; M. Behr and A. Munk, Identifiability for blind source separation of multiple finite alphabet linear mixtures, IEEE Transactions on Information Theory, 63(9):5506-5517 (2017) M. Behr, C. Holmes, and A. Munk, Multiscale blind source separation, The Annals of Statistics, 46(2):711\u2013744 (2018) M. Behr, Finite Alphabet Blind Separation, PhD thesis, University of G\u00f6ttingen<a class=\"moretag\" href=\"https:\/\/merlebehr.org\/?page_id=133\"> Read more&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-133","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/merlebehr.org\/index.php?rest_route=\/wp\/v2\/pages\/133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/merlebehr.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/merlebehr.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/merlebehr.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/merlebehr.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=133"}],"version-history":[{"count":63,"href":"https:\/\/merlebehr.org\/index.php?rest_route=\/wp\/v2\/pages\/133\/revisions"}],"predecessor-version":[{"id":303,"href":"https:\/\/merlebehr.org\/index.php?rest_route=\/wp\/v2\/pages\/133\/revisions\/303"}],"wp:attachment":[{"href":"https:\/\/merlebehr.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}